Session attendees will learn how to use FIBO elements and structures to build an operational knowledge base that can be directly transferred from an ontology editor to a graph database for immediate use. The focus of the presentation will be on the transformation of the descriptive nature of FIBO into an active knowledge base with reasoning capabilities. We will also discuss how to use FIBO concepts to support natural language communication between the user and the system. The presentation will be devoted to a solution for building intelligent interactive assistants augmenting capabilities of compliance analysts investigating financial fraud and money laundering cases and risk analysts managing large repositories of analytical models. Attendees will learn new methods for integrating ontology with reasoning rules, predictive models, quantitative, and data processing service calls. We will provide first-hand lessons and guidelines learned from projects using ontologies, machine learning, graph databases, transaction monitoring, and risk management technologies.